{"623459":{"#nid":"623459","#data":{"type":"event","title":"PhD Defense by Mikhail Jacob","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Improvisational Artificial Intelligence for Embodied Co-creativity\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMikhail Jacob\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPh.D. Candidate,\u003C\/p\u003E\r\n\r\n\u003Cp\u003EComputer Science,\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate: Monday, July 29\u003Csup\u003Eth\u003C\/sup\u003E, 2019.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 2 \u0026ndash; 4:30 p.m. (EDT)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocation: TSRB Auditorium (TSRB 118), 1st floor, Technology Square Research Building (TSRB)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E--------------------------------\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Brian Magerko (Advisor) (School of Literature, Media, and Communication, Georgia Institute of Technology; School of Interactive Computing, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Ashok Goel (School of Interactive Computing, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mark Riedl (School of Interactive Computing, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Anne Sullivan (School of Literature, Media, and Communication, Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mary Lou Maher (Department of Software and Information Systems, The University of North Carolina at Charlotte)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E--------------------------------\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EImprovisation is an important skill for co-creative agents to develop for success despite resource constraints, time pressure, open-ended problems, and ill-defined goals. An important subset of improvisation that has diverse applications is\u0026nbsp;\u003Cem\u003Eembodied narrative improvisation\u003C\/em\u003E, i.e., physical improvisation of narratives with other agents using the various modalities of its body situated within a virtual or physical environment. Unconstrained human-computer embodied narrative improvisation is too challenging to undertake at present since it requires the incorporation of many cognitive faculties including narrative intelligence, social cognition, performance of linguistic\/non-linguistic action, and commonsense reasoning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis dissertation aims to explore the initial steps toward improvisational agents that can perform unconstrained embodied narrative improvisation with people. It focuses on improvisation within gestural and object-based problem domains, which are referred to collectively as\u0026nbsp;\u003Cem\u003Emovement improv\u003C\/em\u003E\u0026nbsp;domains. My research addresses a) the\u0026nbsp;\u003Cem\u003Eknowledge-authoring bottleneck\u003C\/em\u003E\u0026nbsp;and b) the\u0026nbsp;\u003Cem\u003Eimprovisational action selection problem\u003C\/em\u003E, which are both key challenges for creating improvisational agents in movement improv domains. My research seeks to validate the following thesis statement.\u0026nbsp;\u003Cem\u003E\u0026ldquo;Embodied agents using a) interactive learning of embodied knowledge, b) formalizations of tacit knowledge, and c) creativity evaluation can address the knowledge-authoring bottleneck and improvisational action selection problem to perform movement improv with non-experts in improvisational domains having open-ended action spaces and ill-defined goal spaces, increasing user perceptions of enjoyment and agent creativity.\u0026rdquo;\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research described in this dissertation presents the following contributions. 1) real-time interactive learning systems for gestural and object interaction knowledge; 2) formal computational representations of tacit knowledge like the Viewpoints movement framework, physical attributes of objects, and improvisational response strategies to enhance the application of interactively learned knowledge; 3) computational models for evaluating the novelty, unexpectedness, and quality of perceived or generated actions; 4) models of creative arc selection and negotiation for improvisational action selection during movement improv; and 5) validated and publicly-disseminated interactive installations for studying human-computer movement improv with non-experts.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Improvisational Artificial Intelligence for Embodied Co-creativity"}],"uid":"27707","created_gmt":"2019-07-17 12:24:46","changed_gmt":"2019-07-17 12:24:46","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-07-29T15:00:00-04:00","event_time_end":"2019-07-29T17:30:00-04:00","event_time_end_last":"2019-07-29T17:30:00-04:00","gmt_time_start":"2019-07-29 19:00:00","gmt_time_end":"2019-07-29 21:30:00","gmt_time_end_last":"2019-07-29 21:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}